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首页> 外文期刊>The Journal of the Textile Institute >Detection of chemical fabric defects on the basis of morphological processing
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Detection of chemical fabric defects on the basis of morphological processing

机译：基于形态学处理的化学织物缺陷检测

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摘要

Complex computation and the poor adaptability of ambient light are common problems of the algorithm for fabric defect detection. In this paper, we propose a new fabric defect detection approach based on a morphological filter. First, the structural nodes are analyzed and structural features are extracted for selection of the structural elements. Second, the grayscale morphological operations and top-hat transformation are carried out to highlight the defective areas. At the same time, the phenomenon of uneven brightness distribution is greatly reduced. Power transformation and thresholding are then combined to segment the defective areas. This scheme can detect the defects precisely while reducing both the complexity of the algorithm and the interference of the ambient light. The results of the experiments show that the proposed approach is effective and feasible.
机译：复杂的计算和环境光的适应性差是织物缺陷检测算法的普遍问题。在本文中，我们提出了一种新的基于形态学过滤器的织物缺陷检测方法。首先，分析结构节点并提取结构特征以选择结构元素。其次，进行灰度形态学操作和礼帽变换以突出缺陷区域。同时，大大减少了亮度分布不均的现象。然后将功率变换和阈值组合以分割缺陷区域。该方案可以精确地检测缺陷，同时减少算法的复杂性和环境光的干扰。实验结果表明，该方法是有效可行的。

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